Creates a Discrete Constant distribution object (Discrete Distribution).

The string 'Key' resulting from a successful construction of this distribution object can be passed to the following functions in order to query (mean, std deviation and variance) or execute functions (probability function, cumulative density function etc...) based on this distribution object : DDistributionMean(), DDistributionVar(), DDistributionSTD(), DDistributionPF() or DDistributionCDF(). In addition, the string 'Key' resulting from a successful construction of this distribution object will also allow you to construct a process generator object via a call to PGDConstantDistribution(). A process generator object allows you to generate large amounts of random numbers based on this distribution.

Even though PGDConstantDistribution() is the process generator object, the function RandomDConstant() is the actual function that obtains the random numbers given a count parameter and the process generator string 'key'.

This function creates an object and returns a string-key value to represent this created object.
The TAG value of the string-key returned (second part of the key) is : "DConstant"

String CTStatDistributions.DConstantDistribution( _
String Key, _
Long Reload, _
Long mean)

=CT.STAT.DConstantDistribution(
Excel String Cell Key,
Excel Numeric Cell Reload,
Excel Numeric Cell mean)

static std::string DConstantDistribution(
std::string Key,
long Reload,
long mean);

System.String CTStatDistributionsSA.DConstantDistribution(
System.String Key,
System.Int32 Reload,
System.Int32 mean);

The C# example below contains all the sub-function calls leading up to this function call. As a result, the example can contain a lot of code.

The VB.NET, J#, C++.NET, Java, Excel VBA, Visual Basic 6 (via COM) and C++ examples below contain function code stubs for the calls leading up to this function call. However, the function call for this function is displayed.
You can easily reproduce the stub functions code from the C# example.